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Encord Testimonials

  • “I’ve been very impressed with how Encord iterates on the SDK, listens to feedback, and constantly improves the product."

    Jeffrey SiawVP of Data Science

  • “The platform was so intuitive. It provides a lot of different levels of control and team management. Everyone on the team could label and review images easily, We could also do computation both on the cloud and locally on our deep learning machine. All those factors made it really advantageous for us, and I saw the opportunity to save a lot of time and costs by using Encord to speed up our model development.”

    Mathew ElmesDirector
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    4.7 / 5.0
    Customer References3 total
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    Datatron is a FLEXIBLE MLOps platform that helps businesses deploy, catalog, manage, monitor, & govern ML models in production (on-prem, in any cloud, or integrated feature-by-feature via their API). Datatron is entirely vendor, library, and framework agnostic, including AWS, Azure, GCP, SAS, H2O, Python, R, Scikit-Learn, Tensor-Flow, and more. Whether you are just getting started in MLOps, or want to remedy or supplement your homegrown solution, Datatron is the answer. Datatron is Reliable AI™.

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    4.7 / 5.0
    Customer References18 total
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    Fiddler is a pioneer in Model Performance Management for responsible AI. The Fiddler platform’s unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. Model monitoring, explainable AI, analytics, and fairness capabilities address the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. Fortune 500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale, build trusted AI solutions, and increase revenue.

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    4.7 / 5.0
    Customer References9 total
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    Seldon is a data science and machine learning operations platform on a mission to empower Data Scientists, ML Engineers, and MLOps teams to deploy, monitor, explain, and manage their ML models. With Seldon, organizations can minimize risk and drastically cut down time-to-value from their models organization offers both an open-source framework, Core, which focuses on model deployment, and an enterprise product, Deploy Advanced, which builds on this functionality to power model monitoring, explainability and management.

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